RT info:eu-repo/semantics/article
T1 An Intelligent Model to Analyze Aviation Incidents
A1 Aguilar, José
A1 Shi, Donghui
A1 Gutiérrez de Mesa, José Antonio
A1 Chávez, Danilo
K1 Aviation Incidents
K1 Text mining
K1 Fuzzy Cognitive Map
K1 Informática
K1 Computer science
AB In this paper, we propose a hybrid intelligent model based on text mining and Fuzzy Cognitive Map (FCM), in order to determine the causes of aviation incidents. Our approach considers several dimensions of the problem, to define the possible causes of an aviation incident. It considers the human factors, one of the main causes of incidents, but also includes other aspects that normally are not considered in the analysis of Aviation incidents, such as the conditions of the flight or of the airplane. Particularly, we propose text mining tasks to extract the key information from the reports of the incidents, and a Multilevel FCM to integrate the different dimensions considered in our approach. We use a database about reports of aviation incidents to train and test our system. The preliminary results are very encouraging, because we can infer the reasons of the incidents.
SN 1314-7641
YR 2017
FD 2017-05-25
LK http://hdl.handle.net/10017/30341
UL http://hdl.handle.net/10017/30341
LA eng
DS MINDS@UW
RD 20-abr-2024